RMIT University
Browse

Real-time QoS monitoring for cloud-based big data analytics applications in mobile environments

conference contribution
posted on 2024-10-31, 19:13 authored by Khalid Alhamazani, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Meisong Wang, Zhiqiang (George) Huang, Lizhe Wang, Fethi Rabhi
The service delivery model of cloud computing acts as a key enabler for big data analytics applications enhancing productivity, efficiency and reducing costs. The ever increasing flood of data generated from smart phones and sensors such as RFID readers, traffic cams etc require innovative provisioning and QoS monitoring approaches to continuously support big data analytics. To provide essential information for effective and efficient bid data analytics application QoS monitoring, in this paper we propose and develop CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework: (a) performs multi-cloud monitoring, and (b) addresses the issue of cross-layer monitoring of applications. We implement and demonstrate CLAMS functions on real-world multi-cloud platforms such as Amazon and Azure.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/MDM.2014.74

Start page

337

End page

340

Total pages

4

Outlet

Proceedings of the IEEE 15th International Conference on Mobile Data Management (MDM) 2014

Name of conference

MDM 2014

Publisher

IEEE

Place published

United States

Start date

2014-07-14

End date

2014-07-18

Language

English

Copyright

© 2014 IEEE

Former Identifier

2006054797

Esploro creation date

2020-06-22

Fedora creation date

2015-08-19

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC